1393 search results - page 161 / 279 » Machine Learning by Function Decomposition |
132
click to vote
ICMLA
2010
14 years 11 months ago
2010
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
ICML
2006
IEEE
16 years 2 months ago
2006
IEEE
In this paper, we use large neighborhood Markov random fields to learn rich prior models of color images. Our approach extends the monochromatic Fields of Experts model (Roth &...
124
click to vote
ICML
2003
IEEE
16 years 2 months ago
2003
IEEE
In the task of adaptive information filtering, a system receives a stream of documents but delivers only those that match a person's information need. As the system filters i...
ICML
2006
IEEE
16 years 2 months ago
2006
IEEE
In a principal-agent problem, a principal seeks to motivate an agent to take a certain action beneficial to the principal, while spending as little as possible on the reward. This...
ICML
2010
IEEE
15 years 2 months ago
2010
IEEE
In this paper, we propose an Active Learning (AL) framework for the Multi-Task Adaptive Filtering (MTAF) problem. Specifically, we explore AL approaches to rapidly improve an MTAF...